Senior Software Engineer, Distributed Agentic AI Systems

Hp Iq; Houston (TX); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous time off (parental leave, 11+

paid holidays

Job summary

HP is hiring an experienced software engineer to build and integrate a software stack enabling AI inference across private networks and distributed PC clusters. You will own experiments, translate findings into secure, reliable solutions, and work with Windows, Linux, and edge devices.

The role emphasizes workload orchestration, autonomous agent deployment, and secure deployment practices, with cross-functional collaboration in Agile and DevOps environments.

Qualifications

• 4–10 years of software development experience in distributed systems or related fields.
• Bachelor’s or graduate degree in a relevant technical discipline, or equivalent practical experience.
• Advanced Python proficiency and C++ development experience.
• Deep understanding of AI inference with llama.cpp and vLLM.
• Experience deploying autonomous agents using LangChain and LangGraph.
• Windows and Linux expertise including edge integration and driver communication.
• Familiarity with APIs, network protocols, AppArmor, SELinux, and security practices.
• Strong English communication and cross-functional collaboration in Agile/DevOps.

Responsibilities

• Build and integrate software stacks for hardware proofs of concept and workflow testing across closed PC clusters.
• Develop workload orchestration and AI inference offloading across client devices, private servers, and cloud environments.
• Deploy autonomous agents on Windows and Linux, integrating workflows with local hardware and edge devices.
• Automate software deployment and cluster configuration, including secure communication and data movement.
• Implement application security, policy management, and container or process isolation controls (AppArmor, SELinux).
• Analyze telemetry, resource utilization, and bottlenecks during long-running agent simulations.
• Own experiments, test plans, and documentation; collaborate across teams to define requirements.
• Evaluate emerging research and open-source technologies to influence roadmaps.

Skills

Python

C++

Windows

Linux

APIs

Security

LangChain

LangGraph

Distributed computing

English communication

Education

Bachelor’s or graduate degree in a relevant technical discipline

Tools

llama.cpp

vLLM

Job description

At HP, you’ll have a chance to create tools, technology, and solutions that reshape the way the world works in the future. If you’re looking to join a company that allows you to connect with a network of professionals eager to support you in doing your best work, we want to talk to you. Our legendary culture guides every employee toward success—fostering collaboration and driving innovation.

Operating in over 170 countries, HP is always creating new services, products, and capabilities giving you more opportunities to advance your career. Here, innovation is the key to professional development and career mobility.

When you join HP, you’re joining a company that believes every voice matters and that we all deserve a seat at the table. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves. You will be part of a global laboratory where different perspectives and experiences will help you solve problems in new ways. This is where you can build a long and wide-ranging career.

About The Role

We are looking for an experienced software engineer to build and integrate a software stack that enables connected PCs to share workloads and run AI inference across a private network.

As part of the PS Engineering, Integrated Solutions & Ecosystem team, you will connect agentic AI frameworks with Windows, Linux, edge devices, and distributed networks. You will own technical experiments and hardware proofs of concept, translating findings into secure, reliable solutions and engineering direction.

What You Might Do

• Build and integrate software stacks for hardware proofs of concept and workflow testing across closed PC clusters.
• Develop workload orchestration and AI inference offloading across client devices, private servers, and cloud environments.
• Deploy autonomous agents on Windows and Linux, integrating workflows with local hardware and edge devices.
• Automate software deployment and cluster configuration, including secure communication and data movement.
• Implement application security, policy management, and container or process isolation controls, including AppArmor and SELinux .
• Analyze telemetry, resource utilization, and bottlenecks during long-running agent simulations.
• Own experiments, test plans, documentation, and communication of findings; collaborate across business and engineering teams to define requirements.
• Evaluate emerging research and open-source technologies, contributing findings to engineering roadmaps and deployment improvements.

Essential Qualifications

• Typically 4-10 years of experience in software development, distributed systems architecture, systems programming, or a related field.
• Bachelor’s or graduate degree in a relevant technical discipline, or equivalent practical experience.
• Advanced Python proficiency and C++ development experience.
• Deep understanding of AI inference, including practical knowledge of llama.cpp and vLLM .
• Experience deploying autonomous agents using frameworks such as LangChain and LangGraph .
• Experience with distributed computing, clustering, workload orchestration, and network offloading.
• Deep Windows and Linux knowledge, including edge integration and Windows hardware and driver communication.
• Experience with APIs, network protocols, application security, policy management, AppArmor , and SELinux .
• Familiarity with RAG, MCP, and prompt engineering.
• Strong analytical and English communication skills, with experience collaborating across teams in Agile and DevOps environments.

Preferred Qualifications

• Low-level systems programming and LLM fine-tuning experience.
• Experience with hardware proofs of concept and distributed AI workflow evaluation.
• Experience assessing emerging research and open-source technologies through experimentation.

Compensation & Benefits (Full-Time Employees)

The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills.

At HP, we offer a competitive and comprehensive benefits package, including:

• Health insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave ( US benefits overview )

When you join HP, you’re investing in your future-and so are we. You have priorities beyond work. That’s why we offer flexibility, support, and benefits that help you shape the life you want.

Equal Opportunity Employer (EEO) Statement